--- title: "AI Engineering Services: Ship Production AI in Weeks" canonical_url: "https://cognilium.ai/services" slug: "services" section: "services" page_type: "pillar" date_modified: "2026-09-19" description: "Ship production AI in weeks. AI implementation, multi-agent systems, staff augmentation. Your engineers or ours — we build AI agents that run." publisher: "Cognilium AI" author: "Mudassir Marwat" person_same_as: - "https://www.linkedin.com/in/mudassir-marwat/" - "https://orcid.org/0009-0008-1927-2598" - "https://github.com/mudassirmarwat" - "https://medium.com/@mudassir-marwat" - "https://www.youtube.com/@mudassir-marwat" - "https://dev.to/mudassirmarwat" - "https://hashnode.com/@mudassirmarwat" - "https://huggingface.co/mudassirmarwat" - "https://bsky.app/profile/mudassir-marwat.bsky.social" - "https://substack.com/@mudassirmarwat" - "https://topmate.io/mudassirmarwat" - "https://fueler.io/mudassirmarwat" - "https://www.instagram.com/mudassirmarwat/" - "https://www.facebook.com/mudassir.marwat" - "https://www.reddit.com/user/mudassirmarwat/" - "https://www.f6s.com/member/mudassir-marwat" - "https://cognilium.ai/founder" answers: - "Ready to Build Production AI?" - "Why Most AI Projects Never Make It to Production" - "The Cognilium Difference: We Build Like Engineers, Not Researchers" - "Production-Ready AI Services That Deliver ROI" - "Frontier AI Technology Services" - "Agentic AI & Intelligent Automation" - "LLM Engineering & Optimization" - "Data Intelligence & Web Scraping" - "Platform Engineering & Specialized Solutions" - "AI built beside the ERP you already run" - "Dynamics 365 optimization apps" - "AI inside any ERP" - "One workflow, one metric, then a decision" - "What the workflow is costing you now" - "Agree what done means, before we begin" entities: [] related: --- # AI Engineering Services: Ship Production AI in Weeks No outcomes measured against your own baseline measurement or business alignment ## In short AI projects stuck in endless 'research' phase Wasted months with no production results Demo looks great, but can't handle real-world scale Data scientists building prototypes, not products No outcomes measured against your own baseline measurement or business alignment **AI Solution Development** We don't build demos. We build scalable AI systems for your business that handle real-world chaos, scale spikes, and deliver outcomes measurable against your own baseline. Dramatically reduce time-to-market with production-ready AI systems We don't build demos. We build scalable AI systems for your business that handle real-world chaos, scale spikes, and deliver outcomes measurable against your own baseline. Multi-cloud agent deployment with ADK, AI Foundry & AgentCore Enterprise RAG with Vertex Search, Azure AI & Bedrock KB Vector storage across Pinecone, Weaviate, Aurora & S3 Serverless GPU deployment with RunPod, Modal Labs & Together AI Faster deployment, significantly better performance **Data Engineering & Intelligence** Turn scattered, messy data into AI-ready assets. Our battle-tested pipelines handle massive volumes daily with resilient architecture. Dramatically increase data utilization with intelligent pipelines Turn scattered, messy data into AI-ready assets. Our battle-tested pipelines handle massive volumes daily with resilient architecture. AWS data stack with Glue, Athena, Redshift & S3 Data Lake Azure data platform with Data Factory, Synapse & Databricks Google Cloud services with BigQuery, Dataflow & Dataproc Apache Spark processing with PySpark, SQL & vector search Major data utilization increase, significant cost savings **Legacy to Cloud-Native Migration** Transform legacy infrastructure into cloud-native, AI-powered platforms. We architect, migrate, and optimize your entire technology stack for modern business demands. Modernize Everything. Break Nothing. Scale Fast. Save significantly and accelerate innovation dramatically with complete system modernization Transform legacy infrastructure into cloud-native, AI-powered platforms. We architect, migrate, and optimize your entire technology stack for modern business demands. Legacy system modernization with microservices & cloud-native architecture Cloud migration & SaaS integration with automated migration tools AI & data engineering integration with intelligent pipelines & ML models Enterprise security & compliance with zero-trust & resilient architecture Major cost reduction, dramatic uptime improvement **AI Team Augmentation** Get a complete AI engineering team that integrates with your workflow. Senior engineers who've built production AI systems at scale. Ship much faster with dedicated AI engineering pods Get a complete AI engineering team that integrates with your workflow. Senior engineers who've built production AI systems at scale. Much faster shipping, major cost reduction vs hiring **Complete SaaS Development for Startups** We don't just build MVPs-we architect complete, scalable SaaS platforms. With AI, data engineering, and DevOps expertise in-house, your product ships production-ready from day one. Launch your SaaS much faster with significantly lower costs than traditional agencies We don't just build MVPs-we architect complete, scalable SaaS platforms. With AI, data engineering, and DevOps expertise in-house, your product ships production-ready from day one. Rapid MVP with auth, payments & admin dashboards AI-powered features pre-integrated (LLM APIs, RAG, ML models, vector search) Cloud-native DevOps with auto-scaling, CI/CD, monitoring & resilient architecture Enterprise security & built to scale, designed for GDPR requirements Competitive MVP pricing, rapid delivery, high-performance capability, production-grade from day one **Multi-Agent Systems** Move beyond single-agent limitations. Deploy teams of specialized AI agents that coordinate, collaborate, and scale to handle enterprise complexity with built-in guardrails. Orchestrated AI Workflows at Enterprise Scale Major efficiency gains with specialized agents that collaborate autonomously Move beyond single-agent limitations. Deploy teams of specialized AI agents that coordinate, collaborate, and scale to handle enterprise complexity with built-in guardrails. AWS Bedrock AgentCore production deployment with enterprise security Specialized agents with LangGraph, CrewAI & custom frameworks Real-time guardrails for compliance and enterprise protection Scalable memory management with session isolation and persistence Major workflow automation cost reduction, resilient architecture SLA **Legal AI** Domain-grounded AI for legal teams: contract review, clause extraction, and document intelligence with evidence-linked outputs your lawyers can verify. Contract Review & Legal Workflows, Automated Faster contract review and clause analysis with auditable, citation-backed AI Domain-grounded AI for legal teams: contract review, clause extraction, and document intelligence with evidence-linked outputs your lawyers can verify. Contract review and clause extraction with source citations Retrieval-augmented analysis grounded in your own document corpus Private deployment with enterprise security and data isolation Major reduction in manual review time, fully auditable outputs **AgentCore Deployment** Framework-agnostic deployment of production agent systems on AWS Bedrock AgentCore — LangGraph, CrewAI or your own — with session isolation, managed memory and observability built in rather than bolted on. Run agent systems on managed infrastructure instead of servers you maintain Framework-agnostic deployment of production agent systems on AWS Bedrock AgentCore — LangGraph, CrewAI or your own — with session isolation, managed memory and observability built in rather than bolted on. Framework-agnostic runtime: LangGraph, CrewAI, or custom agents Managed session isolation and per-session memory Gateway and identity handling for tool access Observability and tracing across multi-step agent runs Managed runtime, no agent infrastructure to operate Manual recruitment processes taking weeks per hire go from AI concept → production rapidly. While others build research experiments, we build engineering solutions that actually work. ✓ Strategy consultation ✓ Success measures agreed in writing ✓ Scope agreed before work starts ## Why Most AI Projects Never Make It to Production Most companies waste significant time building research experiments instead of production systems. Here's what we see every day: ## The Cognilium Difference: We Build Like Engineers, Not Researchers While others deliver prototypes and demos, we deliver production-grade systems that scale, survive real-world chaos, and show outcomes you can measure from the first week. ## Production-Ready AI Services That Deliver ROI Not features. Not demos. Real business outcomes with measurable impact. ## Frontier AI Technology Services Deep technical expertise across the entire AI stack. From agentic systems to infrastructure, we deliver enterprise-grade solutions that scale. ## Agentic AI & Intelligent Automation Build autonomous AI agents that think, reason, and act independently. Deploy multi-agent systems for complex business processes. Transform manual processes into intelligent, self-running workflows using LangChain agents with memory and reasoning. Deploy teams of specialized AI agents that collaborate to handle enterprise-scale complexity. ## LLM Engineering & Optimization Custom LLMs with enterprise safety. Fine-tune models, implement guardrails, and optimize with quantization. Intelligent chatbots that understand your entire knowledge base with perfect accuracy and context. Data pipelines that understand context. AI-powered ETL with automatic validation and self-healing. ## Data Intelligence & Web Scraping Build connected intelligence with knowledge graphs. Enable complex reasoning across relationships. Enterprise web scraping at scale. Extract 10M+ data points daily with AI-powered accuracy. Extract everything: text, images, video. Transform any web content into structured AI-ready data. ## Platform Engineering & Specialized Solutions Production-ready AI infrastructure on AWS, Azure, or GCP. Auto-scaling with high-availability architecture. Containerized AI that runs anywhere. Docker + Kubernetes for ultimate portability and scale. Complete AI systems built for your business from concept to scale. Full-stack engineering with UI, APIs, and infrastructure. Query databases in plain English. Democratize data access across your entire organization. Industry-specific AI for marketing automation and financial analysis. Pre-trained on best practices. ## Ready to Build Production AI? Let's discuss your technical requirements and create a custom solution roadmap. ## AI built beside the ERP you already run The ERP records and manages; our apps optimize the decisions inside it — the quote, the price, the stock level, the pick path. We never touch the ERP core, and we never compete with your implementation partner: they own the ERP, we own the decision layer on top. ## Dynamics 365 optimization apps Pricing, pick-path and slotting, demand and inventory, quoting and contract review — working demos, built on request against your own data. ## AI inside any ERP Delivered for a parts manufacturer on their own ERP, and inside a Dynamics 365 Supply Chain environment for an automotive-parts manufacturer. The patterns extend to SAP environments. Dynamics is your system of record. Cognilium is your system of intelligence. ## One workflow, one metric, then a decision We do not propose platforms. The standard way in is a scoped four-to-six week pilot on a single workflow, with one explicit success measure agreed before anything is built. No throwaway code: the pilot is the first production slice. **A working session** Bring the real workflow — the inbox, the spreadsheet, the document pile. We tell you what would actually move it, and just as plainly when something will not work. **A pilot: one workflow, one metric** Four to six weeks, scoped to a single workflow with one measurable metric defined up front. Small enough that you can afford to be wrong about it. **The decision, with numbers on the table** The pilot's measured result justifies the next phase, or tells us both to stop. Every later phase is a separate conversation, had against evidence. ## What the workflow is costing you now We do not publish an average efficiency percentage, because ours would be a guess about your operation. Here is the arithmetic instead — every value in it is yours. The fully loaded cost of handling one of these today, including the person handling it. The share a system could handle without a person — the one input nobody can give you from outside your own data. The run cost of the system itself: model calls, infrastructure, and the engineer who watches it. One times two times three, minus four, is your annual figure. If step three is where you get stuck, that is the right instinct — it is the one input nobody can give you from outside your own data, and it is exactly what a pilot is for. ## Agree what done means, before we begin Tell us what you are trying to put into production. You will get a straight answer on what we would build, what we would not, and where we think the approach is wrong. **Scoped before we start** Success measures are agreed in writing before any work begins. **We work in your team** Not a handover across a wall. Our engineers work as part of yours. **We stay after launch** The engagement does not end the day the system goes live. --- Canonical HTML: https://cognilium.ai/services